Social Media Author Profiling. Author profiling is the term usually used to refer to detecting a host of attributes of (often social media) users. This include identifying attributes such as age, gender, educational level, economic class, stance or ideology [1]}, [2]}, personality [3]}, [4]}, [5]}, [6]}, moral traitstraits [7]}, [8]}, and other socilogical and psychological constructs. Author profiling based on text [9]}, [10]} is rooted in computational stylometry [11]}, [12]} and has traces in the early work of Holmes [13]}. The task of author profiling has also been approached from network perspective where cues based on friending, following, mentioning, and commenting have been leveraged for identifying author attributes [14]} for author profiling. In addition, the PAN author profiling shared task [15]}, [16]}, [17]}, [18]}, [19]} was established to advance related work. More information about PAN can be found in [20]}.
